To construct a three-dimensional filled line chart with vertical reference markers, begin by preparing your dataset and rendering parameters. Load the source data and specify the positions where marker lines should intersect the X-axis:

% Load spectral or time-series data
load('experimental_data.mat');

% Assign coordinate variables
xCoord = massToCharge;
zCoord = signalIntensity;

% Define marker line positions along X-axis
refIndices = [12 28 45];

Configure a perceptually uniform colormap to distinguish between data series. Using a continuous color scheme enhances the visualization of subtle variations across samples:

% Generate colormap with scientific color palette
nSeries = size(zCoord, 2);
colorPalette = viridis(nSeries); % Alternative: lines(nSeries)

Render the filled areas and marker lines using a custom visualization functon that handles the patch creation and line overlay:

% Create 3D filled plot with reference markers
[fillHandles, markerHandles] = filledPlot3DWithMarkers(xCoord, zCoord, ...
    colorPalette, 0.8, 0.6, refIndices);

% Configure axis labels
xlabel('M/Z Ratio');
ylabel('Sample Index');
zlabel('Relative Intensity');

% Set viewing perspective
azimuth = -40;
elevation = 35;
view(azimuth, elevation);

Refine the visualization aesthetics by adjusting grid lines, tick directions, and axis limits. Apply descriptive labels to categorical axes:

% Axis styling
ax = gca;
set(ax, 'Box', 'on', ...
        'LineWidth', 1.0, ...
        'GridLineStyle', ':', ...
        'XGrid', 'on', ...
        'YGrid', 'on', ...
        'ZGrid', 'on', ...
        'TickDir', 'out', ...
        'TickLength', [0.02 0.02]);

% Custom Y-axis categorical labels
categories = {'Control', 'Treatment A', 'Treatment B', ...
              'Treatment C', 'Treatment D'};
set(ax, 'YTick', 1:5, ...
        'YTickLabel', categories, ...
        'YLim', [0.5 5.5], ...
        'ZLim', [0 1.2]);

% Uniform typography
set(ax, 'FontName', 'Arial', 'FontSize', 10);
set(findall(gcf, 'Type', 'text'), 'FontSize', 11, 'FontName', 'Arial');
set(gcf, 'Color', [1 1 1], 'Renderer', 'opengl');

Export the figure using high-resolution settings suitable for publication:

% Output configuration
fig = gcf;
set(fig, 'PaperUnits', 'centimeters', ...
         'PaperPosition', [0 0 12 9]);

% Save to file
exportgraphics(fig, 'filled_3d_plot.pdf', 'Resolution', 300);